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The Foundation of Data Validation
Discussing the basic principles and methodology of data validation
Although it may not be the most glamorous aspect of data work, data validation is crucial to any data-related task. Data validation can be tedious. When we think of validation of data, what is the first thing that comes into your mind? Endless Spreadsheet? Multiple layers of SubQuery SQL?
I wish I could say data validation is fun. Unfortunately, it's not a paved road process. If you are reading this blog post, you may have faced the challenge of data validation before, or you might be struggling with it. My goal in this post is to share my experience with data validation, including the principles and methods I have used, which will be helpful to you.
What is Data Validation?
Data Validation is the key to unlocking the potential of any system. It ensures that the data generated meets and exceeds all expectations, leaving no room for doubt or error. With validation, you can be confident that your system is performing at its best, delivering results you can rely on.
Data validation is an essential aspect of our daily lives. It is everywhere, from the information we consume to our decisions.
- I allow my child to watch 20 minutes of TV per…